Closed-loop identification to unravel the way the human nervous system controls bodily functions

Alfred Schouten; Winfred Mugge

doi:10.1007/978-3-030-01845-0_123

Closed-loop identification to unravel the way the human nervous system controls bodily functions

Biomechatronics & Human-Machine Control

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

107 Downloads (Pure)

Abstract

The central nervous system controls body functions and initiates actions through an integrated system of multiple feedback loops. System identification can be a valuable tool to assess the system dynamics. The challenge is to assess the functioning of an intact feedback system in vivo, where cause and effect are intermingled. In this paper we show the errors which can occur when estimating system dynamics using standard (open-loop) system identification algorithms in the presence of feedback loops. Furthermore, we show how these issues can be addressed by using closed-loop algorithms. A closed-loop system identification approach is essential to assess the separate feedback loops of the central nervous system in an intact functional system.

Original language	English
Title of host publication	Converging Clinical and Engineering Research on Neurorehabilitation III
Subtitle of host publication	Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018)
Editors	Lorenzo Masia, Silvestro Micera, Metin Akay, José L. Pons
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	617-621
ISBN (Electronic)	978-3-030-01845-0
ISBN (Print)	978-3-030-01844-3
DOIs	https://doi.org/10.1007/978-3-030-01845-0_123
Publication status	Published - 2018
Event	ICNR 2018: 4th International Conference on NeuroRehabilitation - Pisa, Italy Duration: 16 Oct 2018 → 20 Oct 2018

Publication series

Name	Biosystems and Biorobotics
Volume	21
ISSN (Print)	2195-3562
ISSN (Electronic)	2195-3570

Conference

Conference	ICNR 2018: 4th International Conference on NeuroRehabilitation
Country/Territory	Italy
City	Pisa
Period	16/10/18 → 20/10/18

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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10.1007/978-3-030-01845-0_123

Schouten-Mugge2019_Chapter_Closed-LoopIdentificationToUnrFinal published version, 492 KB

Cite this

Schouten, A., & Mugge, W. (2018). Closed-loop identification to unravel the way the human nervous system controls bodily functions. In L. Masia, S. Micera, M. Akay, & J. L. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018) (pp. 617-621). (Biosystems and Biorobotics; Vol. 21). Springer. https://doi.org/10.1007/978-3-030-01845-0_123

Schouten, Alfred ; Mugge, Winfred. / Closed-loop identification to unravel the way the human nervous system controls bodily functions. Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). editor / Lorenzo Masia ; Silvestro Micera ; Metin Akay ; José L. Pons. Cham, Switzerland : Springer, 2018. pp. 617-621 (Biosystems and Biorobotics).

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abstract = "The central nervous system controls body functions and initiates actions through an integrated system of multiple feedback loops. System identification can be a valuable tool to assess the system dynamics. The challenge is to assess the functioning of an intact feedback system in vivo, where cause and effect are intermingled. In this paper we show the errors which can occur when estimating system dynamics using standard (open-loop) system identification algorithms in the presence of feedback loops. Furthermore, we show how these issues can be addressed by using closed-loop algorithms. A closed-loop system identification approach is essential to assess the separate feedback loops of the central nervous system in an intact functional system.",

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Schouten, A & Mugge, W 2018, Closed-loop identification to unravel the way the human nervous system controls bodily functions. in L Masia, S Micera, M Akay & JL Pons (eds), Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Biosystems and Biorobotics, vol. 21, Springer, Cham, Switzerland, pp. 617-621, ICNR 2018: 4th International Conference on NeuroRehabilitation, Pisa, Italy, 16/10/18. https://doi.org/10.1007/978-3-030-01845-0_123

Closed-loop identification to unravel the way the human nervous system controls bodily functions. / Schouten, Alfred ; Mugge, Winfred.
Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). ed. / Lorenzo Masia; Silvestro Micera; Metin Akay; José L. Pons. Cham, Switzerland: Springer, 2018. p. 617-621 (Biosystems and Biorobotics; Vol. 21).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - The central nervous system controls body functions and initiates actions through an integrated system of multiple feedback loops. System identification can be a valuable tool to assess the system dynamics. The challenge is to assess the functioning of an intact feedback system in vivo, where cause and effect are intermingled. In this paper we show the errors which can occur when estimating system dynamics using standard (open-loop) system identification algorithms in the presence of feedback loops. Furthermore, we show how these issues can be addressed by using closed-loop algorithms. A closed-loop system identification approach is essential to assess the separate feedback loops of the central nervous system in an intact functional system.

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Schouten A , Mugge W. Closed-loop identification to unravel the way the human nervous system controls bodily functions. In Masia L, Micera S, Akay M, Pons JL, editors, Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Cham, Switzerland: Springer. 2018. p. 617-621. (Biosystems and Biorobotics). doi: 10.1007/978-3-030-01845-0_123

Closed-loop identification to unravel the way the human nervous system controls bodily functions

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